Name
Abstract | ||
|---|---|---|
In fuzzy regression, that was first proposed by Tanaka et al. (Eur J Oper Res 40:389---396, 1989; Int Cong Appl Syst Cybern 4:2933---2938, 1980; IEEE Trans SystMan Cybern 12:903---907, 1982), there is a tendency that the greater the values of independent variables, the wider the width of the estimated dependent variables. This causes a decrease in the accuracy of the fuzzy regression model constructed by the least squares method.This paper suggests the least absolute deviation estimators to construct the fuzzy regression model, and investigates the performance of the fuzzy regression models with respect to a certain errormeasure. Simulation studies and examples show that the proposed model produces less error than the fuzzy regression model studied by many authors that use the least squares method when the data contains fuzzy outliers. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/s00500-007-0198-3 | Soft Comput. |
Keywords | Field | DocType |
least absolute deviation estimators,fuzzy regression model,fuzzy outliers,ieee trans systman cybern,squares method,fuzzy outlier,absolute deviation estimator,fuzzy regression · least absolute deviation estimators · fuzzy outliers,fuzzy regression,int cong appl syst,tanaka et,eur j oper res,least absolute deviation,least square method | Mathematical optimization,Regression analysis,Partial least squares regression,Local regression,Nonlinear regression,Robust regression,Least absolute deviations,Simple linear regression,Statistics,Total least squares,Mathematics | Journal |
Volume | Issue | ISSN |
12 | 3 | 1433-7479 |
Citations | PageRank | References |
29 | 1.29 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seung-Hoe Choi | 1 | 73 | 8.89 |
| James J. Buckley | 2 | 910 | 185.47 |